Deep Learning Framework using Big Data for tabular data (i.e. not image or sequence or time series data)
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Deep Learning framework provided seems to support input layers pertaining to image and sequence/time-series data only. Is the understanding correct? Are there means to use for tabular non-sequence big data as input (via datastore tall arrays or any other equivalent means?) and appropriate intermediate layers and output layer? For instance, have a data store (/tall array) as input layer, followed by leakyReluLayers, and a regression layer output.
0 commentaires
Réponses (1)
Vishal Bhutani
le 11 Sep 2018
By my understanding you want to create a deep learning framework for non-sequence or non-image data, similar question related to this has been asked earlier. I am attaching it’s link hope it helps:
Voir également
Catégories
En savoir plus sur Recognition, Object Detection, and Semantic Segmentation dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!